Design of Optimal MLPNN for handwritten Digit recognition application [ READ ]
Seema B Kawale, Mrs. Naveeta Kant
This paper describes the implementation of a Multilayer Perceptron Neural Network for handwritten digit recognition. The paper provides the knowledge about previously implemented techniques for same application and also provides their merits and demerits. In this paper Optimal Multilayer perceptron Neural network has been designed to reduce complexity of the circuit. Results are also stated to verify the concept presented in this paper.
Seema B Kawale, Mrs. Naveeta Kant
This paper describes the implementation of a Multilayer Perceptron Neural Network for handwritten digit recognition. The paper provides the knowledge about previously implemented techniques for same application and also provides their merits and demerits. In this paper Optimal Multilayer perceptron Neural network has been designed to reduce complexity of the circuit. Results are also stated to verify the concept presented in this paper.
